# National labs and a $41 million robotics program fine-tune Meta's SAM 3 and DINOv3 on their own hardware

Berkeley Lab's SYNAPS-I pipeline reportedly cut one beamline segmentation job from about a month of expert work to roughly 15 minutes, a figure that comes from secondary coverage of Meta's account.

- Published: 2026-11-08T06:30:20.452Z
- Canonical: https://polylog.news/ai/2026-11-08/national-labs-and-a-41-million-robotics-program-fine-tune-me
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI (Genesis Mission)](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Meta AI (University of Pittsburgh)](https://ai.meta.com/blog/assistive-robotics-university-of-pittsburgh-sam-dino/), [AI Weekly](https://aiweekly.co/alerts/metas-sam-3-and-dinov3-power-doe-genesis-mission-pipeline), [RuntimeWire](https://runtimewire.com/article/berkeley-lab-meta-models-doe-genesis-mission)

Lawrence Berkeley National Laboratory leads SYNAPS-I, an early project under the Department of Energy's (DOE) Genesis Mission, with Argonne, Brookhaven, Oak Ridge and SLAC. Its segmentation pipeline is built on Meta's SAM 3 and DINOv3. SAM…

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